Correlation Between Yi Jinn and Fu Burg
Can any of the company-specific risk be diversified away by investing in both Yi Jinn and Fu Burg at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Yi Jinn and Fu Burg into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Yi Jinn Industrial and Fu Burg Industrial, you can compare the effects of market volatilities on Yi Jinn and Fu Burg and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Yi Jinn with a short position of Fu Burg. Check out your portfolio center. Please also check ongoing floating volatility patterns of Yi Jinn and Fu Burg.
Diversification Opportunities for Yi Jinn and Fu Burg
Significant diversification
The 3 months correlation between 1457 and 8929 is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Yi Jinn Industrial and Fu Burg Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fu Burg Industrial and Yi Jinn is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Yi Jinn Industrial are associated (or correlated) with Fu Burg. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fu Burg Industrial has no effect on the direction of Yi Jinn i.e., Yi Jinn and Fu Burg go up and down completely randomly.
Pair Corralation between Yi Jinn and Fu Burg
Assuming the 90 days trading horizon Yi Jinn is expected to generate 3.51 times less return on investment than Fu Burg. But when comparing it to its historical volatility, Yi Jinn Industrial is 1.93 times less risky than Fu Burg. It trades about 0.02 of its potential returns per unit of risk. Fu Burg Industrial is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 2,070 in Fu Burg Industrial on September 16, 2024 and sell it today you would earn a total of 520.00 from holding Fu Burg Industrial or generate 25.12% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Yi Jinn Industrial vs. Fu Burg Industrial
Performance |
Timeline |
Yi Jinn Industrial |
Fu Burg Industrial |
Yi Jinn and Fu Burg Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Yi Jinn and Fu Burg
The main advantage of trading using opposite Yi Jinn and Fu Burg positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Yi Jinn position performs unexpectedly, Fu Burg can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Fu Burg will offset losses from the drop in Fu Burg's long position.Yi Jinn vs. Zig Sheng Industrial | Yi Jinn vs. Hong Yi Fiber | Yi Jinn vs. Lealea Enterprise Co | Yi Jinn vs. Shinkong Synthetic Fiber |
Fu Burg vs. Shan Loong Transportation Co | Fu Burg vs. SynCore Biotechnology Co | Fu Burg vs. U Ming Marine Transport | Fu Burg vs. Sporton International |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
Other Complementary Tools
Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Money Managers Screen money managers from public funds and ETFs managed around the world |